Staff Profile

Qualifications

BSc (Hons) in Applied Computing, First Class; PhD in AI (2021), UEA, UK.

Experience

Sep. 2023 - present, Lecturer in Data Engineering & AI, School of Engineering, Newcastle University.

Jan. 2021 - Sep. 2023, Research Associate at NEOLab, School of Engineering, Newcastle University.

May 2019 - Dec. 2020, Research Assistant at Open Lab, School of Computing, Newcastle University.

Memberships

Member of IEEE; Member of the Tyndall Centre for Climate Change Research.

Research Interests

A member of the Intelligent Sensing and Communications (ISC) group, specialising in computer vision, artificial intelligence and deep learning. His research profile can be viewed on Google Scholar.

Research Funding

UKRI-GCRF and Newton Fund Consolidation Account (GNCA): Deep Lakes (CoI; £20,921; 10/22 - 03/23).

Guest Lecturer for CSC8637 Deep Learning, School of Computing, Newcastle University

• Articles

  • Wang Z, Zhao L, Zhang J, Song R, Song H, Meng J, Wang S. Multi-Text Guidance Is Important: Multi-Modality Image Fusion via Large Generative Vision-Language Model. International Journal of Computer Vision 2025, (ePub ahead of Print).
  • Cheng Z, Wang S, Long Y, Zhou T, Zhang H, Shao L. Dual Interspersion and Flexible Deployment for Few-Shot Medical Image Segmentation. IEEE Transactions on Medical Imaging 2025, epub ahead of print.
  • Duan H, Wang S, Ojha V, Wang S, Huang Y, Long Y, Ranjan R, Zheng Y. Wearable-based Behaviour Interpolation for Semi-supervised Human Activity Recognition. Information Sciences 2024, 665, 120393.
  • Ren D, Li M, Wang S, Ren M, Zhang H. SAFENet: Semantic-Aware Feature Enhancement Network for unsupervised cross-domain road scene segmentation. Image and Vision Computing 2024, 152, 105318.
  • Zhu Y, Wang S, Xin T, Zhang Z, Zhang H. Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement 2024, 73, 5016312.
  • Jiang C, Ye Q, Wang S, Shen Y, Zhang Z, Zhang H. Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning. Pattern Recognition 2024, 152, 110451.
  • Jiang C, Wang S, Long Y, Li Z, Zhang H, Shao L. Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination. IEEE Transactions on Pattern Analysis and Machine Intelligence 2024, epub ahead of print.
  • Li S, Jiang C, Ye Q, Wang S, Yang W, Zhang H. Fusing spatial and frequency features for compositional zero-shot image classification. Expert Systems with Applications 2024, 258, 125230.
  • Cheng Z, Wang S, Xin T, Zhou T, Zhang H, Shao L. Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Transactions on Medical Imaging 2024, 43(6), 2202-2214.
  • Duan H, Long Y, Wang S, Zhang H, Willcocks C, Shao L. Dynamic Unary Convolution in Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence 2023, 45(11), 12747-12759.
  • Wang S, Peppa MV, Xiao W, Maharjan SB, Joshi SP, Mills JP. A second-order attention network for glacial lake segmentation from remotely sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing 2022, 189, 289-301.
  • Wang S, Ren Y, Parr G, Guan Y, Shao L. Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Transactions on Geoscience and Remote Sensing 2021, 59(8), 6549-6561.
  • Wang S, Guan Y, Shao L. Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Transactions on Image Processing 2020, 29, 5396-5407.

• Conference Proceedings (inc. Abstract)

  • Zhu Y, Wang S, Xin T, Zhang H. Few-shot Medical image segmentation via a region-enhanced prototypical transformer. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. 2024, Marrakesh, Morocco: Springer.